The first Sunset Hackathon arrives to Portugal!
On the coming September, days 1, 2 and 3, Hardware City will be organizing a 72h technological marathon focused on the creation of innovative solutions, gathering talents and companies in a relaxed summer context.
The main goal of the event is to promote the direct contact between companies in the field and national talents, from design to electronics, to find new ideas and solutions for the market necessities in an informal and relaxed work environment.
If you are interested in the development of new technologies or product design, if you like hardware or software, if you are a hacker or a maker, come create new solution with a foot on the sand, at the Cais Criativo da Costa Nova, in Ílhavo!
Those interested should register individually, and of course, invite their friends, to tackle the challenges proposed by companies from various technological fields in order to solve real problems and develop Creative Concept Competitions!
LxMLS 2017 will take place July 20-27 at Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal. It is organized jointly by IST, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Unbabel, and Priberam Labs.
Click here for information about past editions (LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016) and to watch the videos of the lectures (2011, 2012, 2013, 2014).
Our target audience is:
Researchers and graduate students in the fields of NLP and Computational Linguistics;
Computer scientists who have interests in statistics and machine learning;
Industry practitioners who desire a more in depth understanding of these subjects.
Features of LxMLS:
No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have at least some basic background on probabilities and programming;
Recommended reading is provided one month in advance, see the labs guide of 2016 as reference;
Includes a strong practical component;
A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises;
Days will be divided into tutorials and practical sessions (see schedule);
Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning) will be covered;
Instructors are leading researchers in machine learning. More Information..